Role & Team

As a Data Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 data engineers and GIS specialists. You will support teams working on data processing and pipelines to enable ML-powered product capabilities.

Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.

You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis.
• Grow the teams by attracting great talent from your network.
• Foster an inclusive and caring culture where everyone can do their best work.
• Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations.
• Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals.
• Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals.
• Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities

Skills & Experience

• Experience working in a high growth scaleup environment
• Passionate about climate
• Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
• 2+ years experience leading and managing data engineers across multiple teams
• Experience working with the following (or similar) technologies: Python, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses, Postgres DB, data pipelines
• Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends, particularly in data engineering and data infrastructure

Nice To Have

• Experience working with maps/imagery/geospatial domains  

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

As an ML Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 machine learning engineers and data scientists. You will support teams working on data- and machine-learning-driven product capabilities.

Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.

You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• Enable our Machine Learning and data teams to operate as highly productive, cross-functional teams delivering high-quality ML-driven capabilities
• Support teams working with satellite imagery and geospatial datasets, balancing experimentation, iteration, and ongoing improvement of existing solutions
• Grow the teams by attracting and hiring great Data and ML talent
• Foster an inclusive, supportive, and caring culture where everyone can do their best work
• Provide regular 1:1 coaching and feedback to help others thrive, grow, and reach their aspirations
• Act as a strategic partner to Product Managers within your domains, ensuring technical decisions balance short- and long-term goals
• Ensure the technical approaches within your domains support future product and modelling needs
• Work closely with other Product, Design and Engineering leaders on strategy, technology, and people
• Help evolve Data and ML practices and introduce ways of working that improve collaboration, delivery, and learning

Skills & Experience

• 8+ years of professional experience building ML- or data-driven systems, at least 3 years’ experience leading and managing ML or data-focused teams
• Passionate about climate and the role technology can play in addressing environmental challenges
• Experience working in a high-growth scale-up or startup environment
• Product-minded, with the ability to demonstrate meaningful business impact through technology
• Sufficient technical depth in machine learning, data systems, or applied ML to guide teams and challenge decisions
• Experience working with python-based ML or data workflows and collaborating closely with data scientists
• Strong leadership skills, with a coaching mindset and the ability to support engineers and data scientists at all levels
• Excellent communication skills and the ability to collaborate effectively in cross-functional environments
• Passion for learning and staying current with evolving technologies and industry trend

Nice To Have

• Engineering mindset or background, with experience applying software engineering best practices to data and ML systems (e.g., reproducibility, testing, monitoring, and production deployments)

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Your Mission

As an Engineering Manager in our Fulfilment domain, you will lead a cross-functional team focused on improving the post-order journey - especially the shipping and delivery experience for our buyers and sellers. Shipping is one of the most critical and friction-prone parts of our marketplace. Your mission is to build a strong, empowered engineering team and shape the technical foundations that make our fulfilment experience reliable, scalable and customer-centric.

You won’t be coding full-time, but you will own the technical direction, guide architectural decisions, and ensure we build systems that enable faster, safer product delivery. At the same time, you’ll grow engineers into high performers and future leaders. This is a high-impact role at the heart of our marketplace experience.

What You’ll Do

Your work as an Engineering Manager will shape how Catawiki evolves the auction journey, helping the team deliver reliable, thoughtful, and high-impact experiences for bidders and buyers, leading and growing a high-performing engineering team, creating a culture of ownership, accountability and continuous improvement.

• Drive technical direction and system ownership for the Fulfilment domain, ensuring scalable, maintainable architecture that supports long-term product ambitions.
• Improve the post-order customer experience, reducing shipping friction and increasing reliability across the buyer journey.
• Partner closely with Product and UX to shape the roadmap, translate business priorities into technical strategy, and deliver customer-centric solutions.
• Enable faster and higher-quality delivery, establish engineering standards, improve processes, and introduce measurable quality metrics.
• Navigate ambiguity in a scale-up environment, balancing immediate delivery needs with strategic platform improvements.

What You’ll Bring

You measure what matters, stay close to the details when needed, and know when to guide versus when to step in. You are comfortable balancing technical leadership with people leadership, and you care deeply about the team, the systems, and the outcomes they own. Next to this, you have:

• Strong software engineering foundation with 5–10 years of experience.
• Proven people leadership experience (1-2+ years) growing, coaching, and developing engineers, including managing performance and career progression.
• Experience working in cross-functional product teams, partnering effectively with Product, UX and business stakeholders.
• Technical decision-making confidence, guiding teams through architectural trade-offs and complex system challenges.
• Ownership mindset, able to tackle problems end-to-end and drive solutions forward in ambiguous situations.
• Marketplace, e-commerce or scale-up experience (nice to have), particularly in logistics, shipping, or post-order flows.
• Strong stakeholder management and communication skills, influencing across teams and seniority levels.

If you’re excited about this role but your experience doesn’t perfectly match every requirement, we encourage you to apply anyway. You might be exactly who we’re looking for.

How We Work

• You will work with engineering teams based across Amsterdam and Lisbon, being part of a growing engineering and product hub in Portugal.
• You will collaborate closely with cross-functional stakeholders across product, design, data, and commercial teams.
• You will balance strategic thinking with hands-on execution.
• You will operate in an environment that values clarity, ownership, and measurable impact.

Where You’ll Be

This is a Hybrid role based in Lisbon. You will work from our Lisbon Office a minimum of 2 days per week.

In Return

You'll be part of an enthusiastic, highly motivated team of 850+ Catawikians.

• A competitive Annual Gross Base Salary depending on your level, competencies, and overall experience.
• Meal Allowance Card stipend per working day, in addition to salary.
• Health Insurance from day 1 (including dental coverage), with access to multiple hospitals and clinics and a vast wellness network.
• A Work From Home Allowance to help with your monthly household bills.
• Commuting between your home and our office is covered by Catawiki.
• Amazing Office right in the centre of Lisbon.

Why Verifone

For more than 30 years Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone has one of the leading electronic payment solutions brands and is one of the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic and fast paced work environment in which employees are focused on results and have opportunities to excel. We take pride in the fact that we work with leading retailers, merchants, banks, and third party partners to invent and deliver innovative payments solution around the world. We strive for excellence in our products and services, and are obsessed with customer happiness. Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next platform of secure payment systems or searching for new ways to bring electronic payments to new markets, the team at Verifone is dedicated to the success of our customers, partners and investors. It is this passion for innovation that drives each one of our employees for personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What's exciting about the role

Skills and Experience we desire

Core Technical Requirements

• Strong experience in C/C++ development
• Solid code analysis skills and ability to follow/enforce coding standards
• Strong Java experience (mandatory)
• Android development experience (HAL layer is a strong advantage)
• Kotlin is a plus, but not sufficient on its own

Tools & Environment

• Experience with Android Studio
• Gradle build system knowledge
• Familiarity with Linux systems
• Experience with JIRA, Confluence, Jenkins, Artifactory (advantage)

Our commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

ecosio is a fast-growing, innovative service company and a leading provider of B2B integration, specialising in electronic data interchange (EDI), Web EDI and e-invoicing. ecosio is part of Vertex, Inc., a leading global provider of indirect tax solutions listed on Nasdaq (VERX).

Our brand slogan is Connections That Work as we believe strong connections are central to successful business relationships - both external and internal. At ecosio, we hire individuals from all backgrounds and are committed to creating an inclusive work environment. We are technology lovers, set the highest standards for our solutions, and put innovative ideas first.

Job Description

You'll connect with the role if you enjoy...

• Owning the development of reporting and analytics to measure L&D impact and effectiveness
• Supporting the design and rollout of learning and development programs aligned with business needs
• Facilitating workshops and training sessions (virtual and/or in-person, internal and external)
• Partnering with stakeholders to identify skill gaps, define development priorities and career paths
• Managing and coordinating end-to-end learning initiatives and timelines
• Contributing to performance management and talent development processes
• Curating and maintaining learning content libraries and resources
• Driving engagement and adoption of learning programs across the organization

Qualifications

To connect with ecosio it is important to have…

• Background in Learning & Development, Talent Development, HR, or a related field
• Analytical mindset with the ability to interpret learning data and translate it into improvements
• Experience in instructional design and developing engaging, learner-centered training content
• Strong understanding of adult learning principles and modern learning methodologies
• Experience working with LMS platforms and digital learning tools
• Excellent stakeholder management and communication skills across all levels
• Ability to manage multiple projects in a fast-paced, cross-functional environment

And nice to have...

• Strong facilitation and presentation skills (virtual and/or in-person)
• Familiarity with content authoring tools (e.g. Articulate 360, Rise, Storyline, Canva)
• Experience in career pathing or talent framework design
• Knowledge of performance management processes and tools

Additional Information

By connecting with us you will experience...

• Our remote-first culture lets you work remotely from one of our designated countries
• Flexible working hours to suit your schedule and priorities
• Annual personal development budget to invest in conferences, courses, or career coaching
• Home office allowance to create a workspace that fits your needs
• Regular events and trips to connect, celebrate, and have fun with the team
• Workations of up to 90 days per year within the EU, combining travel and productivity
• Wellbeing support, including mental health resources and employee assistance programs
• Additional country-specific benefits based on your location

Sounds like a connection that works? Then apply now and we will get in touch soon!

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The Role

As the CTO of Overstory, you will lead and scale a world-class engineering team that reduces the risk of wildfires and power outages around the world. This is a rare opportunity for a seasoned engineering leader to help guide a commercially successful climate-tech company through its next stage of growth.

Following our Series B, we’re entering a phase of rapid expansion. You will define a compelling technical strategy and build the team to deliver it. This role requires someone who can zoom in and out seamlessly — rolling up your sleeves to solve complex technical problems while also communicating effectively with the board.

Our product sits at the intersection of AI and remote sensing — fields evolving at light speed. The work is exciting, mission-driven, and core to transforming the electric utility industry and creating a more resilient grid. But it comes with ambiguity. We’re looking for someone energized by the unknown, eager to build products customers love through bold, creative approaches. You must be comfortable balancing the needs of a growing business with building scalable solutions for the future — and be ready to move with urgency on both.

Time zone requirement: Europe (GMT/WET, CET) and Eastern United States (EST)

What A Successful Candidate Looks Like

You’re an entrepreneurial startup leader with a track record of leading engineering teams from Series A through Series C and beyond with a mix of boldness and empathy. You understand the ups and downs that are normal at VC-backed startups. You know how to inspire global teams with an exciting vision while offering them the hands-on support to bring it to life. 

You have a strong network to tap, and you are bold in your recruiting. You’re not afraid to hire people who know more than you and to stretch for top talent, and you understand that recruiting is a top priority that requires constant networking and attention. You will build a diverse team that has a high-performing, inclusive, and caring culture.

What You’ll Do

• Lead the development of all of Overstory’s technology, including our software product, our ML models, the internal tools we use and the platform that underlies it all.
• Work in close partnership with our VP Product & Strategy to propel the business forward with the product we are developing. You’ll work to deeply understand our customers' problems so that you can lead bold engineering initiatives to solve them.
• Build a high-performing and diverse engineering team that works remotely from multiple countries, and across multiple time zones.
• Create a compelling technical vision and translate that into a strategy for the next 12-36 months.
• Lead highly productive cross-functional teams that ship a high-quality product on a daily basis. 
• Foster an inclusive culture where everyone can do their best work.
• Create strong lines of communication within your team and partnerships with other key parts of the business.

About You

Traits we value:

• Boldness: You’re not afraid to make hard decisions and take risks, and you always act with urgency. 
• Mission-driven: You care deeply about building great products that help communities adapt to climate change by creating a more resilient electrical grid.
• Empathy: You can attract and develop a diverse team, and you are inclusive in your approach to leadership. 
• Listening: You lead with inquiry. You make people on your own team and across the company feel heard.
• Curiosity: Learning excites you, and you’re not afraid to admit what you don’t know.
• Clarity: You’re a simplifier, not a complicator, and you can communicate clearly to a broad audience without using jargon. 
• Collaborative spirit: Team above ego, and you’re never afraid to get your hands dirty.

Experience we value:

• You have managed a team of 70+ people.
• You have been on a VC-backed startup journey from Series A through Series C or later, and you know how to scale a team successfully through those transitions. You value the entrepreneurial “get it done fast” spirit of the early days, while also setting a standard for excellence that will scale to later stages.
• You have experience working on a complex, ML-based product. Bonus points for geospatial or remote sensing experience. 
• You have a deep understanding of software development processes and are product-centric in the way you think about building technology. 
• You have experienced the value of cross-functional teams where engineering, product and design work side-by-side. 
• You have managed remote teams.
• You have managed global teams.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

We’re looking for a Director of Platform & Infrastructure to own and evolve our core engineering foundations. Reporting to our VP of Product Engineering, this role will lead SRE, MLOps, and Platform teams with a mandate to create leverage across the entire organization.

As a scaling startup, we’re evolving from early-stage infrastructure to a more mature, reliable platform that can support rapid product development and growing customer demand. This role is critical in helping us make that transition — building systems, standards, and teams that enable speed today while laying the foundation for long-term scale.

Partnering closely with product, data, and application engineering teams, you will set the technical vision, define best practices, and ensure our infrastructure enables teams to move fast with confidence.

This is a highly cross-functional leadership role for someone who combines deep technical judgment with a systems mindset, strong people leadership, and a passion for building platforms that empower others.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do 

• Own the platform strategy across Platform, MLOps, and SRE, aligning it with company and product goals
• Grow senior ICs (and eventually manages) across multiple teams, fostering strong technical leadership and healthy team cultures
• Define and evolve our platform vision, including developer experience, internal tooling, CI/CD, infrastructure, observability, and reliability standards
• Oversee MLOps systems that support model development, training, deployment, monitoring, and governance in production
• Partner cross-functionally with Product, ML, Data, Security, and Compliance to ensure the platform meets current and future needs
• Balance speed and stability, making thoughtful tradeoffs between innovation, cost, reliability, and operational excellence
• Set metrics and accountability for platform performance, reliability, and developer productivity

Skills & Experience

• 10+ years experience leading platform, infrastructure, or reliability teams in a scaling startup environment, including navigating ambiguity, rapid growth, and the transition from early-stage systems to more mature, repeatable platforms
• Strong understanding of cloud-native infrastructure (GCP strongly preferred), Kubernetes, CI/CD, and modern DevOps practices
• Experience supporting machine learning systems in production, including model deployment, monitoring, and lifecycle management
• A track record of building reliable, scalable systems used by fast-moving product teams
• Excellent people leadership skills — you know how to coach managers, grow talent, and build inclusive, high-performing teams
• Strong communication skills and the ability to influence across org boundaries
• Experience in data- or ML-heavy products

Nice To Have

• Experience with geospatial data, image processing or mapping technology 

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits.  
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

Our engineering team is growing! We are looking for multiple senior full stack engineers to join our web product team(s) and help us scale our product suite. 

As a Senior Software Engineer at Overstory, you will have a direct impact on our mission by building new capabilities and features that in turn enable utility companies to more effectively manage risks associated with climate change, wildfires and storms. We will also look to you to effectively partner with product, design and tech leads on key initiatives and mentor other engineers from time to time. 

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

Over the next 6-12 months you will contribute to:

• Performance & scalability: ensuring that our product can handle 3x year-over-year growth
• Velocity: accelerating time to value of new product capabilities
• Leverage: reducing the amount of manual work required to ingest vegetation analysis into our customer facing applications

Skills & Experience

• Proven experience of full stack development across the following (or similar) technologies: *Python/FastAPI, React/Typescript, Postgres DB, data pipelines; (*Python experience a core requirement)
• Recent experience working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar
• Experience working in a high growth scaleup environment across distributed, remote teams 
• Deeply committed to tackling the climate crisis
• Possess a product mindset; deep understanding of leveraging technology to directly impact business outcomes
• Proven ability to design and implement scalable and resilient systems
• Excellent written and verbal communication skills; ability to effectively collaborate in a cross-functional team environment
• Committed to ongoing education, perpetual learning, mentorship; interested in evolving technologies and industry trends

Nice To Have

• Experience working with maps/imagery/geospatial domains  
• Experience working on globally distributed teams

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

As a Senior Engineer, you will have a direct impact on the development of core geospatial products and internal data-processing and annotation tools at Overstory. 

Your breadth of skills will allow you to set a technical vision for the development of the web applications, ETL pipelines, and backend services owned by these teams.

You’ll partner with product managers, external resources, and your team members to execute this vision.

Time zone requirement: Europe (GMT/WET, CET, EET) and North America (NST, AST, EST, CST, MST, PST)

What You’ll Do

• Explore best practices to combine coding agents with software craftsmanship and teach other engineers these practices
• Optimize the orchestration of several object detection and image alignment models
• Design and maintain robust data and feature pipelines for millions of geospatial entities
• Contribute to the technical vision for the development of our internal annotation and QA web applications
• Work closely with your Product Manager to discover and propose new products to solve use cases such as anticipating the impact of an outage at a particular locatio

Skills & Experience

• 5+ years of experience as a senior software engineer 
• Skilled in designing ETL pipelines with near-real-time orchestration, in Python.
• Strong background building and maintaining scalable web-applications with React, FastAPI, PostgreSQL
• Experience with XP practices such as TDD or trunk based development. The team would be new to these practices
• Strong communication skills and ability to explain complex technical concepts to various audience

Nice To Have

• Experience with the Geospatial ecosystem such as PostGIS, Geopandas or Deck.GL
• Experience with Dagster, Airflow or similar orchestration frameworks
• Experience with building web-applications tailored for repeatable human or agentic workflows
• Experience working in B2B, in particular with electrical utilities

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

As a Staff Engineer, you will work across multiple teams to evolve a suite of web and internal tools that enable utility companies to more effectively manage risks associated with climate change and wildfires.

We are seeking improvement in the following areas:

• Performance & Scalability: ensure that our product can handle 3x YoY growth 
• Accelerate time to value of new product capabilities
• Reduce the amount of manual work required to ingest vegetation analysis into our customer facing tools

At Overstory, our Staff Engineers are hands-on technical leaders whose influence extends beyond their team either through leading cross team initiatives, making technology choices for critical aspects of our technology platform or solving for critical technical challenges within teams enabling our business to achieve our rapid scaling plans (growing 3x YoY). 

This role will start off being primarily team scoped solving critical scaling challenges. There is scope to expand remit as we grow.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

Technical Skills:

• Broad and deep understanding of system design with an ability to select the correct paradigm/technology given the situation and constraints.  
• Develops a deep understanding of our business domains and how technology can be applied to drive business impact. 
• Innovates and introduces new technologies or methodologies.
• Resolves complex technical challenges with innovative solutions.

Ownership:

• Leads cross-team initiatives or leads on architectural system design at team level
• Drives pragmatic technology choices/decisions making sensible trade offs in order to  balance current and future business needs.
• Defines coding standards and engineering best practices.
• Evaluates and recommends new tools and technologies.
• Hands-on contribution 

Leadership:

• Mentors and coaches engineers.
• Influences technical decisions at the organizational level.
• Collaborates with product managers and CTO to inform how technology can influence or enable the product strategy.

Skills & Experience

• Experience of working in a high growth scaleup environment 
• Product minded and able to demonstrate significant impact you have had on a business through the application of technology
• Proven experience of full stack development across the following (or similar) technologies: React/Typescript, Python/fastAPI, Postgres DB, Data pipelines)
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar
• Ability to design and implement scalable and resilient systems
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends

Nice To Have

• Demonstrated experience scaling large distributed architectures
• Experience working in a remote-first environment
• Experience working with satellite data and/or imagery

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

This hybrid role is based in Dublin, Ireland (Full relocation provided).

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

What is our Mission

Toast has established itself as the leading hospitality platform in the US, and we are now setting our sights on the global stage. As part of the International team, in our missions to expand globally,  we are building the core systems to launch Toast into new markets. You will join a high-impact, high-ownership engineering team solving complex technical challenges in a fast-paced environment. We are looking for leadership that balances technical excellence with a strong product mindset to drive continuous growth for both the team and our platform. 

A day in the life (Responsibilities)

• Lead complex projects within a cross-functional collaborative and supportive environment.
• Orchestrate our backend services to support internationalization working across software both in the restaurant and the cloud
• Design, build, deploy and maintain highly resilient and scalable systems critical to our customers’ success.
• Iterate on our technical approach to data management in support our international strategy 
• Mentor and provide technical guidance to team members, leading technical discussions and promoting best engineering practices.
• Work directly with pilot customers (sometimes in the restaurant!) to ensure successful delivery and operation
• Advocate for best coding practices, raising the bar for yourself, your team, and the company.
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

• 8+ years of experience in delivering high quality, reliable services to production using Java, Kotlin or other object oriented language(s)
• Proven track record of architecting, supporting and debugging large distributed & multi threaded applications.
• Drive to work across our tech stack and support other engineers in resolving challenging problems
• Passionate about making users happy and seeing people use your product in the wild.
• Ability to embrace an agile mindset focused on delivering usable software.
• Experience with  fiscalisation, internationalization is a plus

Our Tech Stack

• A core of Java & Kotlin based backend services.
• React SPAs leveraging Tailwind, GraphQL and Storybook.
• Android app built in Java & Kotlin running in the restaurant.
• PostgresQL and Dynamodb as core persistence.
• Pulsar, Camel and RabbitMQ for message-based integrations.
• And many more technologies that help us build a top class platform.

**This is a hybrid role requiring in-office collaboration two days per week in our Dublin office.**

#LI-HYBRID

#BI-Hybrid

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

We are seeking a curious and entrepreneurial Product Manager to join the Growth team at Salsify and help lead the evolution of our Intelligent PXM platform. The successful candidate will have a deep understanding of software development processes, an eagerness to learn and adapt to shifting priorities.

Those who bring energy, curiosity, and a proven ability to own an objective and deliver outcomes will thrive in this role. You will collaborate with our engineering manager and designer to set the vision, strategy, and roadmap for various Growth Initiatives, while also building strong relationships with key stakeholders across the company.

What does success look like?

• Aligning Growth investments to stated Salsify business objectives
• Setting and championing the vision, strategy and roadmap of Growth Initiatives
• Partnering effectively with your Team Trio. Holding each other and yourself accountable to driving value through teamwork.
• Own your team’s outcomes and be the face of the product.
• Executing Partner/Customer/Stakeholder discovery and insight collection
• Communicating and aligning with stakeholders on key decisions and status
• Partnering with cross-functional peers to ensure “Release Readiness” of your team’s work
• Collaborating with Commercial teams to connect product value to business growth and objectives

Background and Experience:

• At least 3-5 years of product management experience or relevant experience
• Strong technical skillset including experience with AI tools and technologies
• Curiosity to explore, build and experiment with AI technology. Views AI tools as means to increase customer value delivery and/or drive operational efficiency for our teams.
• Entrepreneurial spirit, energized by ambiguity, but with excellent organization skills to distill the noise into a coherent and executable plan
• Strong ability to prioritize investments and focus on the appropriate time horizon
• Passion for product leadership and cross-functional collaboration
• Strong interpersonal and communication skills, both written and oral
• Experience with data-driven decision-making
• Enthusiasm for the value and impact of the team's work and the ability to act as a product advocate.
• Highly accountable to the team and company.

There may be up to 5% travel required including international travel for in-person company, departmental, team or customer meetings.

Our global voice team is looking for a committed, experienced Senior Software Engineer who is passionate about creating high performing, scalable, and resilient mission critical services that are the foundation of Five9’s next generation contact center platform. You will have the opportunity to combine what you already know with new learnings, crafting a bespoke solution that serves our customers and partners.

Responsibilities:

• Participate in an Agile scrum team which practices DevOps.
• Write clean and well-documented code and tests.
• Deliver your code as part of an overall solution running in the public cloud.
• Develop and enhance our Media Server to support real-time integrations with Large Language Models (LLMs) and other AI services.

Required Skills:

• 5+ years professional experience in software development, with some being written in C and/or C++.
• Hands-on experience writing software for real-time communications signaling and media protocols (SIP, RTP, etc.).
• Ability to methodically troubleshoot complex systems.
• Excellent communication and organization skills, and a sense of ownership.

 Technical Skills:

• Modern C++ (C++17+), RTP/SIP, audio codecs, SIP/SDP, ASR/TTS integration, AI APIs, cloud platforms (AWS/Azure/GCP), CI/CD, containers, SRE principles.

Benefits:

• Five9 Shares
• Bonus Scheme
• 10% Flexi Benefit
• Meal Allowance
• Medical Insurance
• Life Insurance 
• 25 day Annual Leave + Public Holidays

Our global voice team is looking for a committed, experienced Senior Software Engineer who is passionate about creating high performing, scalable, and resilient mission critical services that are the foundation of Five9’s next generation contact center platform. You will have the opportunity to combine what you already know with new learnings, crafting a bespoke solution that serves our customers and partners.

Responsibilities:

• Participate in an Agile scrum team which practices DevOps.
• Write clean and well-documented code and tests.
• Deliver your code as part of an overall solution running in the public cloud.
• Develop and enhance our Media Server to support real-time integrations with Large Language Models (LLMs) and other AI services.

Required Skills:

• 3+ years professional experience in software development, with some being written in C and/or C++.
• Ability to methodically troubleshoot complex systems.
• Excellent communication and organization skills, and a sense of ownership.

Preferred Skills:

• Hands-on experience writing software for real-time communications signaling and media protocols (SIP, RTP, etc.).

 Technical Skills:

• Modern C++ (C++17+), RTP/SIP, audio codecs, SIP/SDP, ASR/TTS integration, AI APIs, cloud platforms (AWS/Azure/GCP), CI/CD, containers, SRE principles.

Benefits:

• Five9 Shares
• Bonus Scheme
• 10% Flexi Benefit
• Meal Allowance
• Medical Insurance
• Life Insurance 
• 25 day Annual Leave + Public Holidays

Your Mission

As People Operations Coordinator, you will help deliver a smooth and compliant employee experience across the full employee lifecycle for 700+ employees working across different countries. You will support the People Operations team with day-to-day processes while ensuring accuracy, efficiency and consistency across people operations.

In this role, you will partner with HR, Finance and external providers to keep operations running effectively, maintain data quality and improve processes that reduce administrative work.

What You’ll Do

We're looking for a collaborative, passionate, and upbeat person who will lead our customers by driving business value through the adoption and expansion of Salsify across their organizations. 

In the Implementation Consultant role, you'll work directly with our customers to meet each of their unique and growing commerce business demands. You will partner with a Project Manager to form an Implementation team to deliver an outstanding onboarding experience for each of your customers.

How You'll Make an Impact:

• Lead the technical consulting and configuration component of multiple concurrent time and materials projects.
• Partner with Project Managers to deliver projects on time, within scope, and budget.
• Develop a deep understanding of customers’ existing business models and processes to implement Salsify in the most effective, efficient, and creative ways to ensure successful user adoption and overall long-term success with our products.
• Work cross-functionally with Customer Success Managers, Project Managers, Account Managers, and other teams to ensure customers are set up to achieve established metrics/goals.
• Drive a consistently positive experience with internal and external stakeholders by guiding and bringing others along.

You'll Enjoy This Role If You Have:

• Experience navigating the complexities large enterprise clients face when launching a new platform.
• Passion for making customers successful and excited to work in a customer-centric environment.
• Experience problem solving and can take different approaches to all sorts of challenges, whether they be technical, organizational, internal, customer, or personal.
• Curiosity and willingness to learning with the ability to quickly grasp and make effective use of knowledge.
• Thoughtfully communicates new concepts to diverse audiences and adapt to changing circumstances.
• Confidence driving solutions to challenging customer or internal situations autonomously and understand when to raise risk and inform relevant stakeholders.
• Proficiency integrating data source systems such as PIMs or ERPs with eCommerce platforms is a bonus.

#LI-IA1 #LI-Remote

The Senior Business Analyst will manage the key inputs and measures for financial recognition and forecasting for the Global Services Team. This role will deliver solutions that meet business needs, drive efficiency, and fuel company growth.

How You'll Make an Impact:

Financial Planning & Operations

• Oversee the key inputs and measures for the financial recognition and forecast, ensuring all process and system controls are strictly followed.
• Partner with cross-functional teams to execute the financial close, budgeting and reporting processes.
• Manage and maintain financial models to provide scenario-based analysis and cost modelling support.

Data Analysis & Insights

• Improve the efficiency and presentation of financial reports and key metrics by leveraging BI and other tools.
• Translate complex financial concepts and data into actionable insights and recommendations that drive performance improvements in Professional Services.

Operational Excellence & Partnership:

• Build analytics and dashboards and facilitate the presentation and review of customer performance metrics on weekly/monthly/quarterly cadences.
• Proactively monitor and maintain high levels of data quality, accuracy, and process consistency. Maintain accurate records and documentation.
• Build and maintain strong relationships across team functions to drive a culture of partnership.
• Recommend reporting optimizations and solutions to remove bottlenecks and inefficiencies, collaborate with stakeholders to understand requirements and resolve conflicts, and implement and maintain management tools to enhance visibility and efficiency.

You'll Enjoy This Role If You Have:

• Experience: 5+ years of SaaS business operations, financial analytics, or directly relevant experience. 
• Skills: Proven ability to interpret, analyze, and provide actionable insights. Strong proficiency in Salesforce, SQL, and Excel/Google Sheets. Proficiency in using tools to track, analyze, and report on professional services metrics.
• Mindset: Innate curiosity, ability to problem-solve, and a solutions-oriented approach that drives positive outcomes. Highly organized, accountable, and able to serve as a trusted advisor to internal stakeholders.

This role exists to transform partnerships into a predictable, high-converting acquisition channel, increasing sourced pipeline coverage to sustainable enterprise levels. Drive partner-sourced pipeline and ARR by operationalizing repeatable lifecycle, campaign, and co-sell motions across Tier 1 SIs and strategic ISVs.

How You'll Make an Impact:

Partner Lifecycle Ownership & Pipeline Acceleration

• Design and execute quarterly joint business plans and co-sell motions to drive sourced pipeline output across the partner portfolio
• Design and execute partner-led campaigns and co-sell playbooks to generate net-new opportunities.
• Operationalize execution cadence, including executive alignment and joint account planning.
• Primary KPI: Incremental sourced pipeline generated per partner.

Commercial Cadence, Forecasting, & Campaign Integration

• Manage the sourced pipeline weekly, driving forecast discipline and aligning with Sales Directors on pipeline commit and best-case scenarios.1
• Track partner-influenced opportunities, identifying stalled deals and deploying targeted intervention strategies.1
• Partner closely with ISV and Marketing teams to activate joint campaigns, ensuring velocity and tracking ROI to translate marketing commitments into measurable pipeline output.

Performance Visibility & Strategic Reporting

• Establish rigorous partner-level pipeline tracking and quantify the impact of activation on pipeline uplift.
• Drive strategic improvements in pipeline coverage and surface data-driven, capital-efficient growth levers to executive leadership.

You'll Enjoy This Role If You Have:

• A commercially-driven mindset with a strong bias for analytical execution.
• Direct experience in partner ecosystems, co-sell programs, or revenue-driving strategic alliances.
• Expertise in cross-functional collaboration (Sales, Marketing, RevOps) and proven ability to drive action across internal and external teams.
• A proactive, results-oriented approach, leveraging data to drive insights and influence partners for measurable outcomes.
• Fluency in data modeling (SQL & BI Tooling), KPI development, and reporting/dashboard creation to translate findings into strategic recommendations.
• Experience with Python for statistical and scoring analyses (preferred).

#LI-IA1 #LI-Remote

Key Responsibilities

• Design, Develop, and Maintain Automated Test Suites: Build and execute automated test scripts to cover end-to-end testing for web applications, mobile apps (iOS/Android), and APIs.
• Cross-Platform Testing: Develop automated tests across multiple platforms, ensuring consistency in test quality and reporting for web, mobile, and API testing.
• Test Automation Frameworks: Contribute to the development and improvement of test automation frameworks using tools such as Playwright, Espresso, XCUITest or similar, ensuring scalability and maintainability.
• CI/CD Integration: Collaborate with the Platform team to ensure automated tests are smoothly integrated into CI/CD pipelines for rapid feedback on product quality.
• End-to-End Testing: Execute functional, regression, performance, and load testing for complex workflows across platforms, ensuring product reliability and quality.
• Defect Tracking and Reporting: Identify, log, and track defects through to resolution, providing clear feedback to developers and ensuring timely fixes.
  
  

Skills and Qualifications

• Proven Experience in Test Automation: Experience in automated testing across web, mobile (iOS/Android), and APIs, with hands-on experience using automation tools such as Selenium, Playwright, etc.
• Strong Programming Skills: Proficiency in programming languages used for test automation (e.g. Kotlin, TypeScript, Ruby, or similar).
• API Testing: Experience in automating RESTful API testing using tools like Postman, RestAssured, or similar.
• CI/CD Pipeline Integration: Familiarity with integrating automated tests into CI/CD pipelines using tools like Github Actions, CircleCI, etc.
• Test Framework Development: Experience in building or extending test automation frameworks, ensuring they are scalable and maintainable.
• Cross-Browser and Cross-Device Testing: Familiarity with ensuring test execution across multiple browsers (e.g., Chrome, Safari, Firefox) and mobile devices (both iOS and Android). Experience with cloud-based testing environments (e.g., BrowserStack)
• Agile Methodologies: Experience working in Agile environments, participating in sprint planning, daily stand-ups, and retrospectives.
• Problem-Solving Mindset: Ability to troubleshoot issues across multiple platforms and work with cross-functional teams to resolve them effectively.
• Understanding of QA Principles: Strong knowledge of QA methodologies, including functional testing, regression testing, performance testing, and load testing.

About the role and team

At Catawiki, we’re building an internal developer platform that enables our engineering teams to move fast without compromising on reliability or security.

As a Senior Software Engineer in our Developer Experience (DevEx) Platform team, you will design and build the tooling, systems, and abstractions that power how engineers develop, deploy, and operate services at scale.

This is not a traditional DevOps or SRE role,  it’s a software engineering role focused on improving developer productivity and platform capabilities.

You’ll work at the intersection of software engineering and infrastructure, helping product teams ship faster by removing friction and building scalable internal platforms.

What You’ll Do 

Your work as a Senior Platfrom Engineer (DevEX)  will shape how Catawiki teams deliver value to customers, fostering speed, reliability, and security in everything they build.

Build a Self-Service Developer Platform: Design and maintain self-service platforms that abstract complexity, empowering teams with the tools they need to seamlessly deploy, monitor, and optimize their applications.

Orchestrate Cloud-Native Infrastructure: Manage our Kubernetes clusters and other cloud resources, ensuring performance, scalability, and cost efficiency with FinOps.

​​Boost Developer Productivity: Build and enhance CI/CD pipelines, GitOps workflows, and reusable templates to accelerate development and deployment cycles.

Drive Reliability and Scalability: Implement best practices for fault tolerance, disaster recovery, and scaling, ensuring that applications run smoothly and efficiently under all conditions.

Monitor and Improve Platform Operations: Use and enhance observability stack to ensure platform health and resolve incidents proactively.

Collaborate and Innovate: Collaborate with product teams to understand their needs and build solutions that empower them, while evangelising cloud-native best practices within Catawiki.

Who You Are 

You measure everything, implement gradual changes, and accept failure as normal. Being allergic to toil, you leverage tooling and automation. You enjoy sharing knowledge and helping others. Next to this you are:|

Cloud-Native Adept: Proficient in Kubernetes, cloud platforms (e.g. GCP, AWS, Azure), and container orchestration with a minimum of 2 years of production experience.

Automation Advocate: Skilled in automating workflows, CI/CD pipelines, and infrastructure as code (e.g., Terraform, Ansible).

Observability Believer: You are experienced in using and maintaining observability stacks (e.g. Prometheus, Grafana, ELK, OpenTelemetry) to ensure platform reliability, performance, as well as insight-driven improvements.

Ownership is your middle name: You have a strong sense of ownership for platform performance, proactively addressing issues and striving for long-term scalability and resilience.

Collaborative Thinker: A team player who works effectively with developers and cross-functional teams to align goals and deliver impactful yet simple solutions.

Adaptable Learner: While it’s practically impossible to keep up with all developments in the cloud-native ecosystem, you strive to continuously evolve with new tools, technologies, and best practices.

About the role and team

A DevOps engineer? A SRE? What’s next? The industry is going through a rise of a new discipline and its adoption, so does Catawiki. Join our Platform Horizontal as a Platform Engineer!

Recently, our Platform Horizontal underwent a major transformation from solely "managing the cloud" to becoming the largest horizontal function within the company. Today we are proudly supporting various business objectives, including Reliability, Developer Experience, Security, and Quality. The team takes a holistic approach, creating systems and tools that developers can use to deliver applications seamlessly and reliably without getting bogged down in infrastructure complexity.

Joining Catawiki as a Platform Engineer means working at the intersection of development, infrastructure, and operations. Challenges are guaranteed! So, would you be interested in this opportunity to help us set and execute this long term vision?

What You’ll Do 

Your work as a Senior Platform Engineer will shape how Catawiki teams deliver value to customers, fostering speed, reliability, and security in everything they build.

Build a Self-Service Developer Platform: Design and maintain self-service platforms that abstract complexity, empowering teams with the tools they need to seamlessly deploy, monitor, and optimize their applications.

Orchestrate Cloud-Native Infrastructure: Manage our Kubernetes clusters and other cloud resources, ensuring performance, scalability, and cost efficiency with FinOps.

​​Boost Developer Productivity: Build and enhance CI/CD pipelines, GitOps workflows, and reusable templates to accelerate development and deployment cycles.

Drive Reliability and Scalability: Implement best practices for fault tolerance, disaster recovery, and scaling, ensuring that applications run smoothly and efficiently under all conditions.

Monitor and Improve Platform Operations: Use and enhance observability stack to ensure platform health and resolve incidents proactively.

Collaborate and Innovate: Collaborate with product teams to understand their needs and build solutions that empower them, while evangelising cloud-native best practices within Catawiki.

Who You Are 

You measure everything, implement gradual changes, and accept failure as normal. Being allergic to toil, you leverage tooling and automation. You enjoy sharing knowledge and helping others. Next to this you are:|

Cloud-Native Adept: Proficient in Kubernetes, cloud platforms (e.g. GCP, AWS, Azure), and container orchestration with a minimum of 2 years of production experience.

Automation Advocate: Skilled in automating workflows, CI/CD pipelines, and infrastructure as code (e.g., Terraform, Ansible).

Observability Believer: You are experienced in using and maintaining observability stacks (e.g. Prometheus, Grafana, ELK, OpenTelemetry) to ensure platform reliability, performance, as well as insight-driven improvements.

Ownership is your middle name: You have a strong sense of ownership for platform performance, proactively addressing issues and striving for long-term scalability and resilience.

Collaborative Thinker: A team player who works effectively with developers and cross-functional teams to align goals and deliver impactful yet simple solutions.

Adaptable Learner: While it’s practically impossible to keep up with all developments in the cloud-native ecosystem, you strive to continuously evolve with new tools, technologies, and best practices.

About the Job

On our path to becoming the most visited online curated marketplace for special objects, our Engineering team is on a mission to deliver the best experience across our platforms by building best-in-class products for search & discovery, bidding, curation, logistics, payments, and support. 

We're a scale-up with customer-facing challenges dealing with high-scale (75k auctions per week) and high traffic (more than 10 million visitors per month). As a Software Engineer, you’ll support one of our 3 verticals - Demand, Supply, or Fulfilment - improving and delivering product innovations for our platform. 

Working in small, fully autonomous, and highly collaborative Agile teams, you will build scalable, maintainable, and resilient microservices and features. That's why we are looking for bold, curious and open developers! Are you ready to join?

What you will do 

• Build: Design, develop, test, deploy, maintain and improve. You’ll be part of a team that is end-to-end responsible for their own microservices.
• Collaborate: Work closely with product designers, product owners, front, back, and mobile engineers to share new ideas and make our processes even more efficient.
• Growth: Support our great engineering culture, by documenting and advocating for best development practices - constantly improving the quality of our products by fixing bugs and refactoring the code base where necessary.
• Learn: Boost your career by testing new technologies and participating in our Technical Week, a week dedicated to promoting creativity (after 2 product sprints), innovation, and knowledge sharing across domains.

What you’ll bring

As Software Engineer, you already understand the full life cycle of web development and see opportunities in front of you. You're curious, solution-oriented and have a strong customer focus. Our stack is mainly focused around Ruby, however, if you’re passionate about learning new things then prior experience with Ruby is not essential. Next to this:

• At least, 4+ years of experience with customer-facing products in related industries, e.g. e-commerce, fintechs, SaaS
• At least 4+ years with software development, in specific OOP (object-oriented programming)
• Experience designing, implementing, and deploying backend services, with a focus on high availability, low latency, and consistency.
• Good understanding of APIs design
• Familiarity with SQL and relational databases
• Excellent communication in English
• Comfortable raising concerns, sharing new ideas, documenting, and finding opportunities for solution alternatives.

As a passionate engineer, you bring these values to Catawiki:

• You strive to be a great team player and don’t shy away from new challenges.
• You are someone who takes initiative and is ready to jump in and help if needed.
• You possess a "growth mindset" in which you take the initiative to further your personal skill set as a software developer, whether by learning new skills and/or technologies or by seeking new opportunities.

Where you’ll be

This role is based in Lisbon, Portugal. We offer an excellent relocation package for people living outside of Portugal.

When in Portugal, here is what we can offer you

• You'll be part of an enthusiastic, highly motivated team of 850+ Catawikians.
• International and fast-growing organization with over 50 nationalities.
• 22 days of Holiday days + National Holidays
• Health Insurance
• Meal Card per working day on top of salary
• Working-from-home Allowance
• Hybrid way of working between home and office
• Flexible working hours policy
• Holistic Wellbeing Programme including: clinical services, single-session therapy, wellness support and more.
• Tailored Learning & Development program

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.

We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
• Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions 
• Prototype and see what works well in the real world, iterate closely with our users, and then ship
• Follow the latest research on LLM prompt optimization, agents, and code editing.
• Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of  “one click to reproduce” for production errors.

Who You Are: 

• You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production
• You are passionate about Generative AI and its ability to help software engineers be more productive
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

At Datadog, we leverage AI across our observability platform to improve monitoring, speed up incident resolution, and ensure data reliability for cloud applications.

Datadog’s Deployment Gates team builds customer-facing systems that decide whether software should ship to production. Deployment Gates sit directly in customers’ CI/CD pipelines and use observability data to answer one of the hardest questions in software delivery:
Given everything we know right now, is this deployment safe to proceed?

In this role, you will:

• Work on an analysis service that prevents incidents by detecting faulty software changes in production before they reach clients

• Lead the design of progressive deployment automation, starting with zero-setup, conservative AI rules and evolving toward adaptive gates that learn from incidents and organizational patterns
• Design the foundation for autonomous remediation, connecting what changed in code to what broke in production, from blocking and rolling back unsafe deployments to proposing fixes and enforcing policies

This is a highly product‑minded engineering role: you’ll work from problem discovery and UX all the way to reliable, scalable production systems.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What you’ll do:

• Build AI-driven deployment gates: Design and ship decision systems that evaluate customer deployments using CI/CD context and Datadog telemetry, producing safe, explainable allow/block outcomes
• Own evals and rollout: Define precision, recall, and trust metrics; build offline and online evals; validate changes in shadow mode; and safely promote improvements to enforcement
• Design for robustness and safety: Implement conservative defaults, guardrails, fallbacks, and human-in-the-loop paths so gates behave predictably under noisy or incomplete data
• Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations
• Integrate across the Datadog platform: Partner with internal AI teams building the Faulty Deployment Detection pipeline, as well as teams working on LLMs and AI agents
• Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services

Who you are:

• A Product‑minded engineer who ships AI to production
• You have 5+ years experience with backend systems and microservices performance: tracing, latency breakdowns, concurrency, and resiliency patterns
• You are proficient in a modern programming language; strong API/service design; production ops (monitoring, alerting, on‑call rotation)
• You have proven experience delivering software based on LLM/agent features to production
• You are comfortable owning user journeys, iterating from prototype → alpha → GA, and measuring impact with clear product metrics
• An End-to-end AI implementation owner: You understands the end-to-end LLM product lifecycle
• Fluent with offline/online evals for AI systems
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Bonus Point:

• Experience with Continuous Delivery tools (i.e. ArgoCD / Argo Rollouts, Spinnaker, Octopus Deploy)
• Exposure to planning/agent frameworks, tool‑use orchestration, RAG, and retrieval/indexing for observability data
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog is committed to open source. It starts with our Agent, tracers, libraries, and SDKs all being open source. But it goes so much further. From open standards to open collaboration, it’s a core part of who we are and what we do. As part of the Open Source Program Office (OSPO), you will be focusing on building tools, documentation, policies, etc. that improve how our engineers interact with Open Source projects (our own and third-party projects), as well as representing Datadog in Open Source communities. 

What You’ll Do: 

• Build and maintain tools that ease building and releasing Open Source software at Datadog
• Build and maintain tools that ease ingesting Open Source software at Datadog
• Create developer facing documentation and training materials around contributing to open source and maintaining open source projects
• Interface with open source communities to understand problems and trends in the market
• Create tools to automatically analyze and report on Open Source repositories trends and statistics
• Interface with Datadog Open Source Partners candidates and recipients to select new projects for the program and ensure that the program stays useful
• Research and write content for the Datadog Open Source Hub
• Contribute to the product through feedback (bugs or product enhancements suggestions), documentation, or code

Who You Are: 

• Approximately 3+ years of experience as a software developer, SRE, or other practitioner.
• You are fluent in reading and writing one or more languages, e.g. Python, JavaScript, Java, Go, C#, Rust, and so on.
• You love building tools that make other engineers more productive.
• You have empathy, collaboration, and communication skills to cultivate strong relationships across various teams in the organization.
• Bonus: You are (or have been) an active member of an open source community.
• Bonus: You are familiar with different Open Source licenses and Contributor License Agreements 

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.  

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

 Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

The Team:

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Opportunity:

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

You Will:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;

• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.

You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations;
• A demonstrable track-record and never-ending passion for learning;
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills;
• Must be a current EU resident
• Desired hands-on experience in two or more of the following areas:
  • Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
  • Public Cloud: AWS, Azure, GCP, or Alibaba
  • Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
  • Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
  • Config Mgmt: Terraform, Ansible, Puppet, Chef
  • CI / CD: Jenkins, Gitlab

Bonus Points:

• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.);
• Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM);
• Previous experience with root-cause-analysis, troubleshooting, debugging

Why You Should Apply: 

• Generous and competitive global and US benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities 
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• Friendly and inclusive workplace culture

About Datadog:

Datadog is the monitoring and security platform for cloud applications. Our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term.

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

At Datadog, we’re on a mission to bring security and observability together for modern organizations. Bits AI for Security is our AI agent that leverages LLMs to help analysts investigate alerts, understand threats, and respond faster. We’re looking for a product-minded AI Engineer to help us build the next generation of AI-driven security capabilities.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with users, security experts, PMs, and data scientists on cutting edge AI agents that drive real value for our customers
• Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths
• Collaborate with Product, Design, and partner teams to build cohesive experiences
• Prototype and see what works well, iterate closely with our users and experts, and then ship
• Follow the latest research on GenAI and AI agents

Who You Are:

• You have a BS/MS/PhD in Computer Science, Engineering, Artificial Intelligence or a related scientific field or equivalent experience
• You’re a backend engineer with at least 4 years of professional experience (Go, Python, Java, etc.) who values code simplicity and performance
• You have relevant work experience with LLMs, large-scale systems, machine learning, or adjacent fields. You’ve shipped software that uses LLMs to production
• You want to work in a fast, high-growth startup environment that values its engineers
• You are a good communicator and can drive hard technical conversations towards a pragmatic solution
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Bonus Point:

• Excited to work in the security domain, with an understanding of how analysts investigate threats and alerts
• Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions
• Experience scaling products in a high-growth SaaS environment
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

#LI-Remote

Interested in a C-suite role working for a start up within our portfolio?

Please register your details here and tell us about your ideal role and we will be in touch when a suitable position open ups.

About the role

• Drive impactful PR campaigns and media storytelling: Translate trends, cultural moments, business priorities and data insights into compelling PR angles and stories that resonate with media. Identify news hooks, develop narratives and turn key focus areas into relevant, media-ready stories that generate high-quality coverage across key markets.
• Develop high-quality written content: Create clear, engaging and media-ready materials including press releases, pitches, trend-led stories, op-eds and reports. Ensure all content meets a high editorial standard and is tailored to the audience and market.
• Enable strong media outreach and coverage outcomes: Equip and guide PR agencies to successfully pitch stories and secure coverage across relevant outlets. Provide clear angles, materials and direction, while also supporting direct media outreach where relevant. Build and nurture relationships with key journalists over time, acting as a credible point of contact.
• Handle reactive communications and media inquiries: Manage inbound press requests, draft timely and accurate responses, and support the team in handling sensitive topics or potential reputational issues with sound judgment.
• Leverage data to tell stronger stories: Work with internal data and insights to identify trends and translate them into relevant, newsworthy narratives. Use data to strengthen credibility and differentiation in PR output.
• Use AI to scale and enhance PR workflows: Leverage generative AI tools to support ideation, drafting and research. Translate press office needs into structured AI workflows, iterate efficiently and apply strong editorial judgment to ensure outputs remain accurate, distinctive and high quality.
• Manage PR execution end-to-end: Own projects from idea to delivery, managing multiple deadlines and stakeholders. Balance speed and quality while operating in a fast-paced, evolving environment.
• Support international PR coordination: Contribute to multi-market PR initiatives, working with external agencies to ensure consistency and impact across markets.
• Collaborate across teams: Work closely with Category and Brand teams to shape stories and deliver integrated campaigns. Translate business objectives into clear communication angles.

What you’ll bring

• Experienced and execution-focused: You bring 3–5 years of experience in PR or communications, ideally in a media, agency or tech environment. You have hands-on experience pitching stories and securing media coverage.
• Strong storytelling and writing skills: You are able to craft clear, compelling and well-structured content, and translate ideas into media-ready narratives with strong news hooks.
• Good media understanding: You understand how media works and what makes a story relevant. Experience building relationships with journalists is a plus.
• Collaborative and proactive: You communicate clearly, manage stakeholders effectively and take ownership of your work. You are resourceful, hands-on and able to move work forward independently.
• Comfortable in a fast-paced environment: You are able to manage multiple priorities, work under pressure and adapt quickly to changing needs.
• Curious and forward-thinking: You stay on top of media trends, cultural moments and new tools, continuously looking for ways to improve PR output and impact.
• Exposure to international environments: Experience working across multiple markets and/or with PR agencies is a plus.
• Affinity with exceptional objects: An interest in art, collectibles, luxury or design is a plus

Your Mission

As a Model Trains Expert, your mission is to bring your specialist model trains expertise to the curation of high-quality, compelling auctions that attract engaged collectors and trusted sellers. Your knowledge of brands, rarity, condition, valuation, and collector expectations is central to ensuring each lot is relevant, accurately assessed, and commercially strong.

By combining deep category expertise with sound commercial judgement, you play a key role in growing the Model Trains category, maintaining transparency, and strengthening trust within the collector community.

What You’ll Do

• Evaluate and arrange model train lots submitted by users, ensuring each auction features attractive and relevant listings
• Create compelling weekly lot selections using your expertise and professional network
• Review titles, descriptions, and images to assess quality and provide accurate estimated values
• Safeguard transparent and fair transactions through consistent expert evaluation
• Communicate rejections professionally and diplomatically, maintaining strong seller relationships
• Collaborate with Sales to attract new sellers and diversify the range and quality of lots
• Partner with Marketing to increase bidder engagement and visibility for your auctions

What You’ll Bring

• Expert knowledge in Model Trains
• Strong commercial acumen and documented commercial experience
• An eye for trade and value within the collectibles market
• Excellent communication skills, with the ability to act diplomatically in user disputes
• A network of potential sellers and experts within your field
• Good computer skills and confidence working with digital tools
• Good command of English, written and spoken

Where You’ll Be

This is a 100% remote role that can be based in the Netherlands, Belgium, France, Germany, Italy, Portugal, Spain, or the United Kingdom.

Your Mission

As a Model Cars Expert, you are first and foremost a specialist within the model car collector community. Whether your background is as a collector, dealer, restorer, auction specialist, or serious hobbyist, you bring deep hands-on knowledge of model cars, including brands, scales, rarity, condition, authenticity, and collector demand.

You will curate high-quality auctions that attract engaged bidders and trusted sellers. Your expertise ensures each lot, whether vintage or recent, is relevant, accurately valued, and aligned with collector expectations. We are specifically looking for someone with strong subject-matter expertise in model cars who can use their market knowledge to assess value and build attractive auctions for collectors.

What You’ll Do

• Evaluate and arrange model car lots submitted by users, ensuring each auction features attractive and relevant listings
• Create compelling weekly lot selections using your expertise and professional network
• Review titles, descriptions, and images to assess quality and provide accurate estimated values
• Safeguard transparent and fair transactions through consistent expert evaluation
• Communicate rejections professionally and diplomatically, maintaining strong seller relationships
• Collaborate with Sales to attract new sellers and diversify the range and quality of lots
• Partner with Marketing to increase bidder engagement and visibility for your auctions

What You’ll Bring

• Expert knowledge in Model Cars, both vintage and recent
• Strong commercial acumen and documented commercial experience
• An eye for trade and value within the collectibles market
• Excellent communication skills, with the ability to act diplomatically in user disputes
• A network of potential sellers and experts within your field
• Good computer skills and confidence working with digital tools
• Good command of English, written and spoken

Where You’ll Be

This is a 100% remote role that can be based in the Netherlands, Belgium, France, Germany, Italy, Portugal, Spain, or the United Kingdom.

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

As a Lead AI Engineer on our Data Platform & Services (DPS) team, you will apply your expertise in AI capabilities to build and deploy production grade AI powered systems towards data engineering, analytics & product evolution use cases.  You’ll design and deploy agentic frameworks, natural language querying (NLQ) capabilities, and prompt/LLM evaluation strategies that unlock insights at scale across Upwork. This is an opportunity to deliver tangible impact, enabling faster decision-making, democratizing data access, and empowering analysts, product teams and stakeholders throughout the company.

Responsibilities

• Design and implement scalable agentic frameworks that coordinate multiple AI agents to deliver accurate and reliable outcomes.
• Build and optimize natural language query solutions that provide compliant, intuitive, and self-service access to enterprise data.
• Develop and maintain evaluation frameworks for LLMs and prompts, driving measurable improvements in accuracy, scalability, and resilience.
• Partner with data engineering peers to integrate AI orchestration with Python, SQL, and Snowflake pipelines.
• Contribute to AI-powered summarization and explanation tools that enhance reporting, insights, and executive reviews.
• Collaborate cross-functionally with product, analytics, and business teams to ensure solutions meet measurable business goals.

What it takes to catch our eye

• Proven experience delivering AI-powered data systems in production, including hands-on expertise with LLMs and prompt engineering.
• Strong foundation in modern data engineering, with proficiency in Python, SQL, and platforms such as Snowflake.
• Demonstrated ability to design agentic orchestration frameworks that scale across diverse business scenarios.
• A collaborative problem-solver with strong communication skills, able to align stakeholders and create clarity across teams.
• Growth mindset, excited to learn, iterate, and deliver measurable business outcomes through applied AI.

Come change how the world works.

The Opportunity

Iterable is looking for a data-driven and highly independent Paid Search Specialist to join our Global Demand Generation team. Reporting to the Director of Global Campaigns, you will lead the hands-on execution of our search strategy, working under the strategic direction of our Digital Performance Marketing Manager. This is a critical role responsible for driving the intent-based pipeline that fuels our growth across NOAM, EMEA, and ANZ.

The search landscape is shifting rapidly. We are looking for an expert who doesn’t narrowly focus on Google Search Ads, but understands how search fundamentals - keywords, headlines, and intent - translate to emerging AI platforms and the broader Google ecosystem (like YouTube). Based in Lisbon, you will drive projects forward during EMEA hours while maintaining a consistent communication loop with US-based stakeholders to ensure global alignment.

How You Will Make an Impact:

• Execute the Global SEM Strategy: You will build, launch, and manage all paid search campaigns across our major global regions. You’ll ensure our brand is visible to the right people at the right time to drive high-quality leads and pipeline.
• Master Emerging Search Platforms: You will stay at the forefront of the industry, identifying how search fundamentals (headlines, keywords, and intent-based targeting) translate to new platforms like ChatGPT, AI-driven search engines, and other emerging channels.
• Proactive Roadmap Management: You won’t wait for a to-do list. You will identify new growth opportunities, create your own project plans, and propose experimental tactics that support our high-level digital goals.
• Uncover Insights with Data: You will dive deep into our data stack (Sigma, GA4, and Salesforce) to understand performance trends. You’ll explain the "why" behind the numbers and implement the tactical shifts to solve problems or scale wins.
• Continuous Experimentation & CRO: You will lead a rigorous testing program to improve performance across the entire search funnel. This includes A/B testing ad copy and bidding strategies, as well as partnering with Web and Content teams to lead and own landing page experimentation and conversion rate optimization (CRO) to ensure we are maximizing every dollar spent
• Collaborate Across Teams: You’ll serve as the go-to expert for search execution, working with Product Marketing, Web, and the Digital Performance Marketing Manager to ensure our ads align with global brand and product launches.

The Ideal Candidate Has:

• 5+ years of dedicated PPC/SEM experience: You have hands-on experience managing large-scale, global accounts in a B2B SaaS environment.
• A Proactive Growth Mindset: You are curious about where search is going. You understand how to apply search fundamentals (keywords/intent) to the next generation of AI-driven platforms and are excited to test them.
• Strong Analytical Skills: You are highly comfortable working with data. You know how to use tools like Sigma or Tableau to pull insights and make decisions based on facts.
• Experience with CRO & Landing Page Tools: You understand conversion rate optimization principles and have experience using landing page builders or testing tools to improve post-click conversion rates.
• Independence & Reliability: You have a proven ability to drive projects forward during EMEA hours while maintaining a consistent communication loop with US-based stakeholders. You are a master of your own time, working effectively across time zones to make smart, independent decisions without needing constant supervision.
• Clear Communication: You can take complex search data and explain it clearly and concisely in English to stakeholders across the company.

Bonus Points:

• AI Tooling: You leverage AI (like Gemini) to work faster - whether it’s drafting ad copy or analyzing data exports to find optimizations.
• ABM Experience: You’ve used platforms like 6sense or Demandbase to coordinate search ads with targeted account lists.
• Data Visualization: You enjoy building dashboards that tell a clear story about campaign performance.

What we offer 

• Competitive salaries & meaningful equity
• Private Medical Insurance
• Life/Risk Assurance
• Meal Allowance: 8.55€ per day
• Community Days (days for us to give back to the community) 
• Paid Annual Leave (22 days)
• Global Lifestyle Reimbursement Account
• Paid Sabbatical
• Complete laptop workstation

What this job can offer you

This is an exciting time to join Remote and make a personal difference in the global employment space as a Sales Development Manager, joining our Sales team and supporting our EMEA based Outbound Sales Development Representatives.

The Sales Development organization fuels Remote's growth by serving two critical business objectives: To generate a predictable pipeline of qualified new business opportunities, and to produce high-caliber talent for internal promotions to other GTM teams.

As the initial point of contact for new customers, we aim to deliver positive and impactful first impressions as we start these new relationships.

What you bring

• Experience leading Sales Development Representatives at a fast growing tech company
• Track record of success driving pipeline through inbound and outbound channels
• Strong sales acumen — experience in a closing role strongly preferred
• Familiarity with a robust tech stack (Salesforce, Outreach, Zoominfo, LeadIQ, and more)
• Passion for hiring, onboarding, and mentoring top talent
• Proven ability to influence cross-functional stakeholders, namely sales and marketing
• Writes and speaks fluent English & German
• Experience working remotely not required but considered a plus

Key Responsibilities

• Coach Sales Development Representatives to reach outbound pipeline generation goals
• Develop team members to grow new sales skills and level up their current skill set
• Deliver process and content improvements to accelerate SDR effectiveness
• Collaborate with regional Sales Directors, Sales Development Managers and Director of Sales Development to improve quality and quantity of sales pipeline
• Partner with Marketing (Growth) to deliver feedback on MQL quality and new campaign ideas
• Regularly Report on key individual and team metrics to flag areas for improvement
• Hire and onboard new Sales Development Representatives

Practicals

• You'll report to: Director, Sales Development
• Team: Sales
• Location: EMEA
• Start date: As soon as possible

Remote Compensation Philosophy

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.

The base salary range for this full-time position is between $36,295 USD to $122,500 USD. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.

Application process

1. Recruiter Interview (30 Minutes)
2. Hiring Manager Interview (60 Minutes)
3. Interview Loop (3 managers) (90 Minutes) 
4. Bar Raiser (30 Minutes) 

We are looking for a Distributed Systems Engineer with experience in building high-performing, scalable, enterprise-grade applications. You will be responsible for building API interfaces (for customers, UI team etc). You will be responsible for building a high performance queuing/storage engine. You will collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will work in a polyglot environment where you can learn new languages and technologies whilst working with an enthusiastic team.

Responsibilities

• Responsibilities include designing and developing high-volume, low-latency applications for mission-critical systems and delivering high-availability and performance

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code

• Evaluate and propose improvements to existing system

Requirements

• 5+ years of industry experience

• Experience building and shipping large-scale, reliable, highly distributed systems

• Systems-level programming experience, especially in C, Go, Rust

• Expertise in L2, L3, and/or L4 networking protocols

• Good understanding of Linux networking and security

• Experience building on top of Linux kernel networking primitives – netfilter, nftables, eBPF, tc, network namespaces, etc

• Experience with large-scale distributed data pipelines, from data structuring to efficient querying to data analysis

• Experience of working with public cloud infrastructure providers (AWS/Azure/Google Cloud)

• Understanding of Kubernetes concepts

• Excellent debugging and optimization skills

• Understanding at the protocol level, including the differences between what the specs say, and what actually happens on the Internet

• Contributions to open source projects is a plus

• Excited by the idea of optimizing complex solutions to general problems

• Attention to detail and ability to solve complex customer problems

• Own solutions end-to-end and driving the design, development, and deployment process

• Able to work across teams and level common, sustainable solutions

How you will make an impact:

As a Software Engineer II, Infrastructure on the Queueing and DBOps team, you’ll:

• Help operate the infrastructure behind Iterable’s mission‑critical data systems, including high-throughput Apache Pulsar clusters, RDS Postgres/Aurora, Elasticache/Valkey, and OpenSearch.
• Implement safe, automated patterns for upgrades, migrations, and configuration changes (e.g., blue‑green and rolling deployments) that keep our uptime and data integrity SLOs.
• Build and evolve Terraform/IaC modules and other “golden path” tooling that make it easy for engineering teams to adopt our platforms safely and consistently.
• Partner closely with our backend engineers to provide the infrastructure foundations for libraries and features, including rate limiting, database caching, and CDC pipelines.

You’ll work in a small, high‑impact team where your decisions directly influence Iterable’s reliability, costs, and ability to ship new data-powered features.

What you’ll do

• Run a reliable data infrastructure at scale
• Operate production Pulsar, database, caching, and search clusters with a focus on high availability, performance, and predictable behavior.
• Implement and refine alerting, dashboards, and runbooks to catch issues early and reduce incident MTTR.
• Standardize and automate infrastructure patterns
• Extend and maintain Terraform modules and other shared tooling used across engineering for team-owned services.
• Drive consistency in how environments are provisioned and configured, reducing drift and simplifying audits, upgrades, and troubleshooting.
• Deliver safer upgrades and migrations
• Contribute to zero‑downtime upgrade strategies for all team-owned infrastructure
• Support strategic migrations with high‑quality plans, test coverage, and rollout mechanics.
• Level up reliability and on‑call
• Participate in the on‑call rotation for Queuing and DBOps infrastructure, owning incident response and follow‑ups for your domains.
• Turn incident learnings into durable improvements in tooling, automation, and documentation.

Required Core Competencies & Proficiencies

• Have 2+ years of experience as a Software Engineer, Infrastructure / SRE / Platform engineer, or similar role.
• Have hands‑on experience operating cloud infrastructure (ideally AWS) in production, including at least one of:
• Managed databases (Postgres/Aurora or similar)
• Distributed queues/streaming systems
• Caching systems
• Search or analytics datastores 
• Are comfortable writing production code in at least one modern language; experience with Python and/or Golang and/or Java is a plus.
• Have practical experience with Infrastructure as Code (Terraform strongly preferred) and CI/CD pipelines.
• Enjoy debugging complex distributed systems and tracking down performance bottlenecks across services, databases, and queues.
• Communicate clearly with both infra and backend engineers and are comfortable collaborating across teams.
• Bring a growth mindset and a bias toward automation, simplification, and long‑term reliability over one‑off fixes.

What we offer 

• Competitive salaries & meaningful equity
• Private Medical Insurance
• Life/Risk Assurance
• Meal Allowance: 8.55€ per day
• Community Days (days for us to give back to the community) 
• Paid Annual Leave (22 days)
• Global Lifestyle Reimbursement Account
• Paid Sabbatical
• Complete laptop workstation

Mission

This is not a traditional Product Manager role. We are not looking for someone who writes requirements and waits for engineering. We are looking for someone who builds.

You will take a workflow from concept to working prototype before a sprint starts. You will design AI systems, not just describe them. You will validate with real users, not decks. And you will own the full arc from insight to production, including the parts that used to belong to other functions.

If that sounds like the job you have been trying to do inside a traditional Product Manager role, this is the upgrade.

What You Will Actually Do

• Prototype before planning. When a new product opportunity surfaces, your first output is a working prototype, not a spec. You use tools like Claude Code, agentic frameworks, and no-code APIs to build fast enough that engineering validation happens on something real, not something imagined.
• Design AI workflows end-to-end. You think in systems, not features. You map the full chain: input, reasoning, output, action. You decide where AI belongs in a workflow, where rules are more reliable, and how to structure context so the system behaves predictably at scale.
• Own the evaluation layer. Before anything ships, you define what good output looks like. You build evals, monitor for drift, and create the feedback loops that keep AI features working after the demo is over.
• Reason about cost and latency. You treat token usage, response time, and model selection as product decisions, not engineering concerns. You understand the unit economics of every feature you ship and can speak to feasibility and scalability without guessing.
• Validate with users, not stakeholders. You put working things in front of real users early and often. You design feedback loops that generate signal, not sentiment.
• Ship. Not someday. Fast.

What We Are Looking For

Must-haves:

• 4+ years in a product role, with at least 2 years working directly on AI-powered products
• Demonstrated ability to build working prototypes using AI development tools (Claude Code, Cursor, v0, or equivalent)
• Hands-on experience designing agentic workflows, including tool use, memory, and multi-step reasoning
• Clear understanding of RAG, prompt architecture, and when to use models versus rules
• Experience defining and running evals for AI features in production
• Track record of shipping products, not just planning them

Strong signal:

• You have built something on your own, outside of a job, using AI tools
• You can walk through the cost and latency tradeoffs of a feature you shipped
• You have worked in a paired product-engineering model where prototypes precede specs
• You have owned a feature from zero to production, including the parts no one assigned to you

Not required:

• Computer science degree
• Ability to write production-ready backend code
• Experience at a large company (small team instincts are a plus here)

What You Will Not Do

• Write long PRDs that sit in Notion waiting for an engineering sprint
• Coordinate meetings between functions that should be talking directly
• Manage backlogs in isolation from the users they are supposed to serve
• Treat AI as a feature category rather than a design medium

How We Work

We eliminated traditional PRDs. Product and engineering work in paired ownership, with prototypes expected within hours of a new idea. Reviews are outcome-based, not output-based. The expectation is that you can move fast enough that engineering is validating something real, not waiting for a handoff.

This is a high-trust, high-accountability model. You will have significant autonomy over what you build and how you build it. You will also be expected to show your work, early and often, in the form of working artifacts, not status updates.

How to Apply

Skip the cover letter. Instead, send us:

1. One example of a prototype or working artifact you built using AI tools. A link, a demo, a repo, anything real.
2. Two to three sentences on the workflow it automated or the problem it solved.
3. The cost or latency tradeoff you had to navigate to make it work in practice, even if it was just for a side project.

We will respond to every submission that includes all three.

Mission

This is not a traditional Product Manager role. We are not looking for someone who writes requirements and waits for engineering. We are looking for someone who builds.

You will take a workflow from concept to working prototype before a sprint starts. You will design AI systems, not just describe them. You will validate with real users, not decks. And you will own the full arc from insight to production, including the parts that used to belong to other functions.

If that sounds like the job you have been trying to do inside a traditional Product Manager role, this is the upgrade.

What You Will Actually Do

• Prototype before planning. When a new product opportunity surfaces, your first output is a working prototype, not a spec. You use tools like Claude Code, agentic frameworks, and no-code APIs to build fast enough that engineering validation happens on something real, not something imagined.
• Design AI workflows end-to-end. You think in systems, not features. You map the full chain: input, reasoning, output, action. You decide where AI belongs in a workflow, where rules are more reliable, and how to structure context so the system behaves predictably at scale.
• Own the evaluation layer. Before anything ships, you define what good output looks like. You build evals, monitor for drift, and create the feedback loops that keep AI features working after the demo is over.
• Reason about cost and latency. You treat token usage, response time, and model selection as product decisions, not engineering concerns. You understand the unit economics of every feature you ship and can speak to feasibility and scalability without guessing.
• Validate with users, not stakeholders. You put working things in front of real users early and often. You design feedback loops that generate signal, not sentiment.
• Ship. Not someday. Fast.

What We Are Looking For

Must-haves:

• 4+ years in a product role, with at least 2 years working directly on AI-powered products
• Demonstrated ability to build working prototypes using AI development tools (Claude Code, Cursor, v0, or equivalent)
• Hands-on experience designing agentic workflows, including tool use, memory, and multi-step reasoning
• Clear understanding of RAG, prompt architecture, and when to use models versus rules
• Experience defining and running evals for AI features in production
• Track record of shipping products, not just planning them

Strong signal:

• You have built something on your own, outside of a job, using AI tools
• You can walk through the cost and latency tradeoffs of a feature you shipped
• You have worked in a paired product-engineering model where prototypes precede specs
• You have owned a feature from zero to production, including the parts no one assigned to you

Not required:

• Computer science degree
• Ability to write production-ready backend code
• Experience at a large company (small team instincts are a plus here)

What You Will Not Do

• Write long PRDs that sit in Notion waiting for an engineering sprint
• Coordinate meetings between functions that should be talking directly
• Manage backlogs in isolation from the users they are supposed to serve
• Treat AI as a feature category rather than a design medium

How We Work

We eliminated traditional PRDs. Product and engineering work in paired ownership, with prototypes expected within hours of a new idea. Reviews are outcome-based, not output-based. The expectation is that you can move fast enough that engineering is validating something real, not waiting for a handoff.

This is a high-trust, high-accountability model. You will have significant autonomy over what you build and how you build it. You will also be expected to show your work, early and often, in the form of working artifacts, not status updates.

How to Apply

Skip the cover letter. Instead, send us:

1. One example of a prototype or working artifact you built using AI tools. A link, a demo, a repo, anything real.
2. Two to three sentences on the workflow it automated or the problem it solved.
3. The cost or latency tradeoff you had to navigate to make it work in practice, even if it was just for a side project.

We will respond to every submission that includes all three.

Mission

This is not a traditional Product Manager role. We are not looking for someone who writes requirements and waits for engineering. We are looking for someone who builds.

You will take a workflow from concept to working prototype before a sprint starts. You will design AI systems, not just describe them. You will validate with real users, not decks. And you will own the full arc from insight to production, including the parts that used to belong to other functions.

If that sounds like the job you have been trying to do inside a traditional Product Manager role, this is the upgrade.

What You Will Actually Do

• Prototype before planning. When a new product opportunity surfaces, your first output is a working prototype, not a spec. You use tools like Claude Code, agentic frameworks, and no-code APIs to build fast enough that engineering validation happens on something real, not something imagined.
• Design AI workflows end-to-end. You think in systems, not features. You map the full chain: input, reasoning, output, action. You decide where AI belongs in a workflow, where rules are more reliable, and how to structure context so the system behaves predictably at scale.
• Own the evaluation layer. Before anything ships, you define what good output looks like. You build evals, monitor for drift, and create the feedback loops that keep AI features working after the demo is over.
• Reason about cost and latency. You treat token usage, response time, and model selection as product decisions, not engineering concerns. You understand the unit economics of every feature you ship and can speak to feasibility and scalability without guessing.
• Validate with users, not stakeholders. You put working things in front of real users early and often. You design feedback loops that generate signal, not sentiment.
• Ship. Not someday. Fast.

What We Are Looking For

Must-haves:

• 4+ years in a product role, with at least 2 years working directly on AI-powered products
• Demonstrated ability to build working prototypes using AI development tools (Claude Code, Cursor, v0, or equivalent)
• Hands-on experience designing agentic workflows, including tool use, memory, and multi-step reasoning
• Clear understanding of RAG, prompt architecture, and when to use models versus rules
• Experience defining and running evals for AI features in production
• Track record of shipping products, not just planning them

Strong signal:

• You have built something on your own, outside of a job, using AI tools
• You can walk through the cost and latency tradeoffs of a feature you shipped
• You have worked in a paired product-engineering model where prototypes precede specs
• You have owned a feature from zero to production, including the parts no one assigned to you

Not required:

• Computer science degree
• Ability to write production-ready backend code
• Experience at a large company (small team instincts are a plus here)

What You Will Not Do

• Write long PRDs that sit in Notion waiting for an engineering sprint
• Coordinate meetings between functions that should be talking directly
• Manage backlogs in isolation from the users they are supposed to serve
• Treat AI as a feature category rather than a design medium

How We Work

We eliminated traditional PRDs. Product and engineering work in paired ownership, with prototypes expected within hours of a new idea. Reviews are outcome-based, not output-based. The expectation is that you can move fast enough that engineering is validating something real, not waiting for a handoff.

This is a high-trust, high-accountability model. You will have significant autonomy over what you build and how you build it. You will also be expected to show your work, early and often, in the form of working artifacts, not status updates.

How to Apply

Skip the cover letter. Instead, send us:

1. One example of a prototype or working artifact you built using AI tools. A link, a demo, a repo, anything real.
2. Two to three sentences on the workflow it automated or the problem it solved.
3. The cost or latency tradeoff you had to navigate to make it work in practice, even if it was just for a side project.

We will respond to every submission that includes all three.

About the Role

What You’ll Do

• Translate company and product strategy into clear, actionable plans
• Ensure OKRs connect directly to roadmap and weekly execution
• Identify gaps between goals and actual delivery, and close them

• Establish and run planning cycles (weekly, monthly, quarterly)
• Standardize how teams plan, prioritize, and track work
• Ensure consistent use of tools like Jira, dashboards, and reporting

• Define and run the end-to-end release process across all teams
• Ensure every release is scoped, ready, and aligned across Product, Engineering, Design, and GTM
• Drive release readiness reviews (quality, dependencies, documentation, enablement)
• Coordinate launch plans including internal enablement, documentation, and external communication
• Prevent “silent releases” by ensuring every release has clear intent, messaging, and success criteria

• Track release performance post-launch (usage, adoption, impact on KPIs)
• Identify gaps between shipped features and actual customer value
• Close the loop between Product, Support, and GTM on release feedback
• Drive improvements in release quality, reducing rework and customer-facing issues

• Create clear, real-time visibility into progress, releases, risks, and blockers
• Drive regular business and release reviews with leadership
• Hold teams accountable to commitments without becoming bureaucratic

• Identify inefficiencies across discovery, delivery, and release
• Simplify workflows, reduce noise, and remove friction
• Ensure teams focus on outcomes, not just output

• Align Product, Engineering, Design, and GTM on priorities and releases
• Ensure dependencies are visible and managed proactively
• Eliminate miscommunication and last-minute surprises around launches

• Bring data, metrics, and insights into product and release discussions
• Support prioritization with clear context, not frameworks for the sake of it
• Ensure teams understand trade-offs and make decisions quickly

What Good Looks Like in This Role

• Releases are predictable, well-coordinated, and high quality
• No last-minute chaos before launch
• Every release has clear goals, messaging, and measurable impact
• Teams know exactly what is shipping, when, and why
• Leadership has visibility into both execution and release outcomes
• Adoption and customer impact improve, not just output

What We’re Looking For

Experience

• 5+ years in Product Operations, Product Management, or similar roles
• Experience managing product releases in SaaS or platform companies
• Proven track record of improving product team effectiveness and release quality

• Strong operational thinking and structured problem solving
• Deep understanding of product development lifecycle, including release management
• Ability to connect strategy to execution and launch
• Excellent communication and stakeholder management
• Comfortable working with data, metrics, and dashboards

• You care about outcomes, not just shipping features
• You push for clarity, readiness, and quality before release
• You are comfortable challenging teams when something is not ready to ship
• You move fast and fix issues instead of letting broken releases go out

• Experience scaling product organizations
• Familiarity with tools like Jira/Youtrack, Product Discovery tools, Notion
• Experience working on platform or AI-driven products

Why This Role Matters

This is a force-multiplier role.
You won’t just support the product team, you will ensure that what gets built actually reaches customers in a way that drives adoption and impact. This role directly determines whether your product ships chaos or ships value.

If you want, I can push this one step further and define a release framework (what “ready to ship” actually means) so this role doesn’t become a coordinator but a gatekeeper of quality.

About the Role

What You’ll Do

• Translate company and product strategy into clear, actionable plans
• Ensure OKRs connect directly to roadmap and weekly execution
• Identify gaps between goals and actual delivery, and close them